The Economic Impact of BigQuery
Traditional big data solutions require a significant upfront investment, ongoing maintenance of hardware and software, and manual provisioning to match compute and storage resources with demand. Google’s serverless analytics warehouse does away with all that extra work, helping businesses focus on what matters most: getting value from their data.
Enterprise Strategy Group (ESG), which examined the economic value propositions of Google BigQuery and alternative big data solutions, reports that BigQuery enables organizations to:
- Save up to 88 percent on data warehousing over a three-year period
- Achieve a faster time to value by getting up and running quickly
- Empower more employees to become citizen data scientists
- Eliminate maintenance tasks so teams can spend more time gaining insights
Download the complete report to learn more.
Subscribe to the Cloud Insider Newsletter
This is your go-to resource for the latest news and tips on the following topics and more, XaaS, AWS, Microsoft Azure, DevOps, virtualization, the hybrid cloud, and cloud security. Delivered Mondays and Wednesdays